11552340

Source:http://linkedlifedata.com/resource/pubmed/id/11552340

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0019994, umls-concept:C0026336, umls-concept:C0030705, umls-concept:C0424594, umls-concept:C0449445, umls-concept:C0598697, umls-concept:C1280500, umls-concept:C1444754
pubmed:issue	4
pubmed:dateCreated	2001-9-12
pubmed:abstractText	To identify factors associated with hospital length of stay (LOS) and to model variations in LOS within Diagnosis Related Groups (DRGs).
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0210453
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:issn	0026-1270
pubmed:author	pubmed-author:LeeA HAH, pubmed-author:YapK HKH
pubmed:issnType	Print
pubmed:volume	40
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	288-92
pubmed:dateRevised	2006-11-15
pubmed:meshHeading	pubmed-meshheading:11552340-Delivery, Obstetric, pubmed-meshheading:11552340-Diagnosis-Related Groups, pubmed-meshheading:11552340-Female, pubmed-meshheading:11552340-Humans, pubmed-meshheading:11552340-Length of Stay, pubmed-meshheading:11552340-Pregnancy, pubmed-meshheading:11552340-Proportional Hazards Models, pubmed-meshheading:11552340-Risk Assessment, pubmed-meshheading:11552340-Survival Analysis, pubmed-meshheading:11552340-Western Australia
pubmed:year	2001
pubmed:articleTitle	Determining the effects of patient casemix on length of hospital stay: a proportional hazards frailty model approach.
pubmed:affiliation	School of Public Health, Curtin University of Technology, Perth, Australia. Andy.Lee@curtin.edu.au
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't